Xin Wang

Orcid: 0000-0001-9531-6662

Affiliations:
  • Fudan University, School of Computer Science, Shanghai, China
  • Central China Normal University, Faculty of Artificial Intelligence in Education, Wuhan, China


According to our database1, Xin Wang authored at least 23 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
Imperceptible Jailbreaking against Large Language Models.
CoRR, October, 2025

SafeEvalAgent: Toward Agentic and Self-Evolving Safety Evaluation of LLMs.
CoRR, September, 2025

FreezeVLA: Action-Freezing Attacks against Vision-Language-Action Models.
CoRR, September, 2025

Simulated Ensemble Attack: Transferring Jailbreaks Across Fine-tuned Vision-Language Models.
CoRR, August, 2025

LeakyCLIP: Extracting Training Data from CLIP.
CoRR, August, 2025

Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes?
CoRR, June, 2025

NAP-Tuning: Neural Augmented Prompt Tuning for Adversarially Robust Vision-Language Models.
CoRR, June, 2025

SafeVid: Toward Safety Aligned Video Large Multimodal Models.
CoRR, May, 2025

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety.
Found. Trends Priv. Secur., 2025

TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Adversarial Prompt Distillation for Vision-Language Models.
CoRR, 2024

Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Adversarial Prompt Tuning for Vision-Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

2022
Holistic Combination of Structural and Textual Code Information for Context Based API Recommendation.
IEEE Trans. Software Eng., 2022

"More Than Deep Learning": post-processing for API sequence recommendation.
Empir. Softw. Eng., 2022

Navigation as the Attacker Wishes? Towards Building Byzantine-Robust Embodied Agents under Federated Learning.
CoRR, 2022

Lossless medical image compression based on anatomical information and deep neural networks.
Biomed. Signal Process. Control., 2022

2021
A Topic Guided Pointer-Generator Model for Generating Natural Language Code Summaries.
CoRR, 2021

2020
Learning based and Context Aware Non-Informative Comment Detection.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Source Code based On-demand Class Documentation Generation.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

2019
Generative API usage code recommendation with parameter concretization.
Sci. China Inf. Sci., 2019

2018
Automatic Generation of API Documentations for Open-Source Projects.
Proceedings of the IEEE Third International Workshop on Dynamic Software Documentation, 2018


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